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Record W14208173

Prosecutorial Discretion in Assisted Dying in Canada: A Proposal for Charging Guidelines

2012· article· en· W14208173 on OpenAlexaboutno aff
Jocelyn Downie, Ben White

Bibliographic record

VenueeYLS (Yale Law School) · 2012
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsnot available
Fundersnot available
KeywordsDiscretionAssisted suicidePolitical scienceAutonomyCommissionLawUndue influenceRoyal Commission
DOInot available

Abstract

fetched live from OpenAlex

An Expert Panel of the Royal Society of Canada and a Select Committee of the Québec National Assembly both recently recommended the issuance of permissive guidelines for the exercise of prosecutorial discretion on voluntary euthanasia and assisted suicide and “medical aid in dying” respectively. It seems timely, therefore, to propose a set of offence-specific guidelines for how prosecutorial discretion should be exercised in cases of voluntary euthanasia and assisted suicide in Canadian provinces and territories. We take as our starting point the only existing guidelines of this sort currently in force in the world (i.e. the British Columbia Guidelines, and the England and Wales Guidelines). In light of certain concerns we have with these guidelines, we outline an approach to constructing guidelines for Canadian jurisdictions that begins with identifying three guiding principles we argue are appropriate for this purpose (respect for autonomy, the need for high-quality prosecutorial decision making, and the importance of public confidence in that decision making), and ends with a concrete and detailed set of proposed guidelines. The paper is consistent with, but also extends, the work of the Royal Society Canada Expert Panel on End of Life Decision Making.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.076
GPT teacher head0.403
Teacher spread0.327 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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